Beginning of massWithin functionality

showcase/entries/Continuous.re

@@ -7,13 +7,14 @@ let data: DistributionTypes.xyShape = {
 
 let mixedDist =
   GenericDistribution.make(
-    ~generationSource=GuesstimatorString("mm(3, normal(5,1), [.5,.5])"),
+    ~generationSource=
+      GuesstimatorString("mm(uniform(10,12), normal(5,1), [.5,.5])"),
     ~probabilityType=Pdf,
     ~domain=Complete,
     ~unit=Unspecified,
     (),
   )
-  |> GenericDistribution.renderIfNeeded(~sampleCount=3000);
+  |> GenericDistribution.renderIfNeeded(~sampleCount=1000);
 
 let timeDist =
   GenericDistribution.make(
@@ -23,7 +24,7 @@ let timeDist =
     ~unit=Time({zero: MomentRe.momentNow(), unit: `years}),
     (),
   )
-  |> GenericDistribution.renderIfNeeded(~sampleCount=3000);
+  |> GenericDistribution.renderIfNeeded(~sampleCount=1000);
 
 let domainLimitedDist =
   GenericDistribution.make(
@@ -33,7 +34,7 @@ let domainLimitedDist =
     ~unit=Unspecified,
     (),
   )
-  |> GenericDistribution.renderIfNeeded(~sampleCount=3000);
+  |> GenericDistribution.renderIfNeeded(~sampleCount=1000);
 
 let distributions = () =>
   <div>

src/components/charts/GenericDistributionChart.re

@@ -61,7 +61,8 @@ let make = (~dist) => {
         ),
     }) =>
     <div>
-      <Continuous data={n |> Shape.Continuous.toPdf} />
+      <Continuous data=n />
+      <Continuous data={n |> Shape.XYShape.integral} />
       {d |> Shape.Discrete.scaleYToTotal(f) |> Shape.Discrete.render}
     </div>
   | _ => <div />

src/core/GenericDistribution.re

@@ -31,4 +31,17 @@ let renderIfNeeded =
        );
   | Shape(_) => Some(t)
   };
-};
+} /* }*/;
+
+// let getTimeY =
+//     (t: genericDistribution, point: TimeTypes.RelativeTimePoint.timeInVector) => {
+//   switch (t) {
+//   | {
+//       generationSource: Shape(shape),
+//       probabilityType: Pdf,
+//       unit: Time(timeVector),
+//     } =>
+//     TimeTypes.RelativeTimePoint.toXValue(timeVector, point)
+//     |> E.O.fmap(x => Shape.Mixed.getY(t, x))
+//   | _ => 2.0
+//   };

src/core/Shape.re

@@ -6,6 +6,10 @@ let _lastElement = (a: array('a)) =>
   | n => Belt.Array.get(a, n - 1)
   };
 
+type pointInRange =
+  | Unbounded
+  | X(float);
+
 module XYShape = {
   type t = xyShape;
 
@@ -37,8 +41,19 @@ module XYShape = {
     fromArrays(xs, ys);
   };
 
+  let getY = (t: t, x: float) => x;
+
   let integral = transverse((aCurrent, aLast) => aCurrent +. aLast);
   let derivative = transverse((aCurrent, aLast) => aCurrent -. aLast);
+
+  let massWithin = (t: t, left: pointInRange, right: pointInRange) => {
+    switch (left, right) {
+    | (Unbounded, Unbounded) => t |> ySum
+    | (Unbounded, X(f)) => t |> integral |> getY(_, f)
+    | (X(f), Unbounded) => ySum(t) -. getY(integral(t), f)
+    | (X(l), X(r)) => getY(integral(t), r) -. getY(integral(t), l)
+    };
+  };
 };
 
 module Continuous = {
@@ -99,6 +114,25 @@ module Mixed = {
   };
 };
 
+module Any = {
+  type t = DistributionTypes.pointsType;
+
+  let x = (t: t, x: float) =>
+    switch (t) {
+    | Mixed(m) => `mixed(Mixed.getY(m, x))
+    | Discrete(discreteShape) => `discrete(Discrete.findY(x, discreteShape))
+    | Continuous(continuousShape) =>
+      `continuous(Continuous.findY(x, continuousShape))
+    };
+
+  let massInRange = (t: t, left: pointInRange, right: pointInRange) =>
+    switch (t) {
+    | Mixed(m) => 3.0
+    | Discrete(discreteShape) => 2.0
+    | Continuous(continuousShape) => 3.0
+    };
+};
+
 module DomainMixed = {
   type t = {
     mixedShape,

src/models/EAFunds.re

@@ -126,12 +126,14 @@ module Model = {
           currentDateTime,
           yearlyMeanGrowthRateIfNotClosed(group),
         );
+
       let str =
         switch (xRisk) {
         | Some({truthValue: true}) => "0"
         | Some({truthValue: false}) => difference
         | None => "uniform(0,1) > .3 ? " ++ difference ++ ": 0"
         };
+
       let genericDistribution =
         GenericDistribution.make(
           ~generationSource=GuesstimatorString(str),

src/utility/GuesstimatorLibrary.js

@@ -48,8 +48,8 @@ const toPdf = (values, sampleCount, min, max) => {
     const ratioSize$ = ratioSize(samples);
     const width = ratioSize$ === 'SMALL' ? 20 : 1;
 
-    const cdf = samples.toCdf({ size: sampleCount, width, min, max });
+    const pdf = samples.toPdf({ size: sampleCount, width, min, max });
-    continuous = cdf;
+    continuous = pdf;
   }
   return {continuous, discrete};
 };